Package index • modeltools

All functions

AIC(<bgw_mle>): AIC of a bgw_mle object

BIC(<bgw_mle>): BIC of a bgw_mle object

add_scores(): Calculates and adds the scores to a fitted model object

bread(): Bread for sandwiches

coef(<bgw_mle>): Coefficients of a bgw_mle object

converged(): Check if model has converged

.onAttach(): Print package startup message

glance(<bgw_mle>): Glance a `bgw_mle´ object

has_scores(): Check if the model object contains the scores

is_bgw(): Check if the model object is of class bwg_mle

load_packages(): Load packages

logLik(<bgw_mle>): Log-likelihood of a bgw_mle object

meat(): Meat for sandwiches

nobs(<bgw_mle>): Number of observations of a bgw_mle object

poe_test(): Test for the difference in independent empirical distributions

prep_for_gt(): Prepare model output for gt

print(<poe_test>): Generic print method for poe_test()

repeat_rows(): Repeat rows

sandwich(): Sandwich estimator

scores(): Extract the empirical estimation function

stars(): Create stars

tidy(<bgw_mle>): Tidy a `bgw_mle´ object

vcov(<bgw_mle>): Variance-covariance matrix of a bgw_mle object